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PyData Code of Conduct¶
https://pydata.org/code-of-conduct/¶
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NumFOCUS¶
- US-based charity in support of open-source scientific computing
- Financial and admin support for many open-source projects
- Support for many community events
- https://numfocus.org
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PyData¶
- Educational program by NumFOCUS
- A global community
- 230 groups across 80 countries world-wide
- 235,000+ users world-wide (+23,000 per year!)
- https://www.meetup.com/pro/pydata/
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PyData London¶
- 14,200+ members running a monthly meetup and annual conference
- All run by volunteers
- Propose a Talk: https://london.pydata.org/submit-a-talk/
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Man Group¶
- The world's largest publicly traded hedge fund company
- Lots of open positions in both tech and research!
- Sponsors PyData London ❤️❤️❤️
Upcoming Conferences¶
Courtesy of https://pythondeadlin.es/¶
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1️⃣ 📊💸 The Power of Connection - Dan Keeley¶
In a world of fractured data, heroes rise to build bridges of standardization, unlocking collaboration, innovation, and a future where information flows freely, and connections empower change. Beyond the technical, it's a tale of the human spirit and the power of unity.
2️⃣ 🛠️🌐 Deep Dive into Merging Large Language Models - Tanay Mehta¶
As the popularity of Large Language Models (LLMs) surges, so does their size and the resources required to train them, making it more challenging to develop customized models. Model merging offers a straightforward solution to this issue. By enabling the combination of two or more LLMs into a single model, it presents a cost-effective alternative to pre-training an LLM from scratch while still achieving state-of-the-art performance. In this talk, we will dive deeper into the various techniques of model merging and provide a practical, step-by-step guide.